Reliability Optimization Analysis of Financial Management System Based on BP Neural Network Algorithm

• Published in: 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) pp. 1 - 7
• Main Author: Zhang, Zhihong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29.12.2023
• Subjects: BP neural algorithm; Classification algorithms; Financial management; Financial management system; Financial sector; Neural networks; Optimization; Organizations; Prediction algorithms; Reliability; Reliability analysis
• DOI: 10.1109/SMARTGENCON60755.2023.10442533

The reliability optimization analysis of financial management systems based on BP neural network algorithm is an important topic in the financial field. The financial management system plays a crucial role in the financial management of an organization, and its reliability is crucial for the smooth operation of the organization. The BP neural network algorithm is a powerful tool that can be used to optimize the reliability of financial management systems. This algorithm can analyze a large amount of data and identify patterns that help improve the performance and reliability of financial management systems. By using this algorithm, organizations can identify potential problems in their financial management systems before they arise. This enables them to take proactive measures to prevent these issues from occurring, ultimately improving performance and profitability. In summary, reliability optimization analysis based on BP neural network algorithm is an important research field in the financial field. It provides organizations with a powerful tool to improve their financial management systems and ensure their long-term success.